Joshua B. Tenenbaum

Citirano

	Sve	Od 2018.
Citati	97187	57466
H-indeks	132	114
i10-indeks	478	420

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Suautori

Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Jiajun WuStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Noah D. GoodmanStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Charles KempMelbourne School of Psychological SciencesPotvrđena adresa e-pošte na unimelb.edu.au
Tomer UllmanAssistant Professor, HarvardPotvrđena adresa e-pošte na fas.harvard.edu
William T. FreemanProfessor of Computer Science, MITPotvrđena adresa e-pošte na mit.edu
Antonio TorralbaProfessor of Computer Science, MITPotvrđena adresa e-pošte na csail.mit.edu
Samuel GershmanProfessor, Harvard UniversityPotvrđena adresa e-pošte na fas.harvard.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectPotvrđena adresa e-pošte na mit.edu
Chris BakerChief Scientist, ISEE AIPotvrđena adresa e-pošte na mit.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITPotvrđena adresa e-pošte na mit.edu
Brenden M. LakeAssistant Professor, New York UniversityPotvrđena adresa e-pošte na nyu.edu
Max Kleiman-WeinerHarvard & MITPotvrđena adresa e-pošte na mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUPotvrđena adresa e-pošte na cs.cmu.edu
Tobias GerstenbergStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Kelsey AllenResearch Scientist, DeepMindPotvrđena adresa e-pošte na deepmind.com
Armando Solar-LezamaMITPotvrđena adresa e-pošte na csail.mit.edu
Andrew PerforsUniversity of MelbournePotvrđena adresa e-pošte na unimelb.edu.au
Mark SteyversUniversity of California, IrvinePotvrđena adresa e-pošte na uci.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu

Prati

Joshua B. Tenenbaum

MIT

Potvrđena adresa e-pošte na mit.edu - Početna stranica

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	16377	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3106	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	2634	2017
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling J Wu, C Zhang, T Xue, B Freeman, J Tenenbaum Advances in neural information processing systems 29, 2016	1965	2016
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1931	2011
The large‐scale structure of semantic networks: Statistical analyses and a model of semantic growth M Steyvers, JB Tenenbaum Cognitive science 29 (1), 41-78, 2005	1757	2005
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1476	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1393	2007
Meta-learning for semi-supervised few-shot classification M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ... arXiv preprint arXiv:1803.00676, 2018	1301	2018
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1279	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	1229	2002
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum Advances in neural information processing systems 29, 2016	1225	2016
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	1089	2006
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	1067	2015
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	1045	2000
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	1040	2007
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	1020	2009
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	939	2012
One shot learning of simple visual concepts B Lake, R Salakhutdinov, J Gross, J Tenenbaum Proceedings of the annual meeting of the cognitive science society 33 (33), 2011	924	2011
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	922	2006

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